Alejandro Escobar's repositories
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
algorithm-archive
A collaborative book on algorithms
crowddynamics
Continuous-time multi-agent crowd simulation engine implemented in Python using Numba and Numpy for performance.
HeadsetControl
Sidetone and Battery status for Logitech G930, G533, G633, G933 SteelSeries Arctis 7/PRO 2019 and Corsair VOID (Pro) in Linux and MacOSX
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
IntroductionToProbabilityPy
Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition
ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
practical-statistics-for-data-scientists
Code repository for O'Reilly book
PySocialForce
Extended Social Force Model in Python for social navigation research
Python
All Algorithms implemented in Python
python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
resources
PyMC3 educational resources
scikit-project
Create an open-source library in Python for your scientific research.
storybook
đź““ UI component dev & test: React, Vue, Angular, React Native, Ember, Web Components & more!
tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
Tesis-pregrado
Modelo de Clasificacion de Texto con Redes Tensoriales MPS
Text-Classification-Models-Pytorch
Implementation of State-of-the-art Text Classification Models in Pytorch
Text-Classification-Pytorch
Text classification using deep learning models in Pytorch